A fine intended data model is the keystone to build business intelligence as well as data warehouse applications which offers noteworthy business values. An efficient data modeling outputs in moving data into an enterprise information quality that is constant and all-inclusive. Data is altered from source systems to data warehouse plus OLAP cubes for analysis. Data warehouse online training presents fundamental procedures to design a data warehouse, or OLAP cubes which facilitate business intelligence analysis and reporting.
This training course talks about the two logical data modeling methods of ER and dimensional model. Well, dimensional modeling is the keystone to Business Intelligence and data warehousing, where as ER model is used to set up the baseline data model. This type of modeling methods have extended and matured as the best practices that have emerged from several years of experience in data modeling in business of all sizes. All such methods advance the business values of data, improve project productivity and diminish time to develop an application.
This online training course comprises a mixture of applications, concepts and realistic examples. You can gain knowledge of the following:
· Basics of ER and dimensional modeling
· How to build dimensional data models for DW and BI applications
· Acquire more knowledge of data modeling
This course is mainly beneficial for business analysts and architects, information technology managers, beginners of data modelers, project managers, people drawn in maintenance and design of data warehousing as well as business intelligence applications and people drawn in data quality.
Find out the pros and cons of data warehousing and business intelligence perceptions with no difficulty. Give your employees data warehousing and business intelligence skills that could help you enhance performance and functionality of your business. You will get limitless access to these training courses for a year. Our competitors may have alike training, however you will not get training of this quality anywhere else at an affordable value.
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